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Hospital exigency forecast, Used by machine learning techniques to predict admissions. One potential method is the use of data mining by ML. This project was successful, because of three algorithms: 1) Logistic regression 2) Decision trees 3) Gradient boosted machines. The GBM performed better than the decision tree and logistic regression model. These can help in predicting admissions for emergency patients. We have made use of machine learning techniques in developing a Hospital exigency forecast application using ML algorithms.
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